Individual Objects Research Articles

Context matters: The interactive effect of introvert-extrovert personality traits and object valence on object-based attention.

Previous research has independently investigated the impact of individual personality traits and object valence on different patterns of attentional selection. However, the interactive role of individual personality traits and object valence in different patterns of attentional selection in both same and different emotional contexts remains unclear. To address the above issues, the present research used a variant of the two-rectangle paradigm, preselected individuals as introverts and extroverts, and simultaneously presented two faces with same or different emotions. Accordance to the result, in the same emotional context, personality traits and object valence did not interact to modulate both space-based effect (SBE) and object-based effect (OBE). However, in the different emotional context, personality traits and object valence interacted to modulate OBE. Specifically, for the extroverts, OBE existed no difference among negative, neutral and positive conditions. In contrast, for the introverts, the OBE was larger in the negative condition compared to those in the positive and neutral conditions. This research provides the first evidence suggesting that object-based attention can be impacted by the interaction between individual characteristics and object properties, and further proposes a preliminary framework called "context-dependent attentional selection hypothesis."

Incorporating multi-source remote sensing in the detection of earthquake-damaged buildings based on logistic regression modelling

After an earthquake, efficiently and accurately acquiring information about damaged buildings can help reduce casualties. Earth observation data have been widely used to map affected areas after earthquakes. However, fine post-earthquake assessment results are needed to manage recovery and reconstruction and to estimate economic losses. In this paper, for quantification and precision purposes, a method of earthquake-induced building damage information extraction incorporating multi-source remote sensing data is proposed. The method consists of three steps： (1) Analysis of multisource features that describe texture, colour, and geometry, (2) rough set theory is carried out to further determine the feature parameters, (3) Logistic regression model (LRM) was built to describe the relationship between the occurrence and absence of destroyed buildings within an individual object. Old Beichuan County (centered at approximately 31.833︒N, 104.459° E), China, the area most devastated by the Wenchuan earthquake on May 12, 2008, is used to test the proposed hypothesis. Multi-source remote sensing imagery include optical data, synthetic aperture radar (SAR) data, and digital surface model (DSM) data generated by interpolating light detection and ranging (LiDAR) point cloud data. Through comparison with the ground survey, the experimental results show that the detection accuracy of the proposed method is 94.2 %; the area under the receiver operating characteristic (ROC) curve is 0.827. The efficiency of the proposed method is demonstrated using 6 modes of data combination acquired from the same area in old Beichuan County. The approach is one of the first attempts to extract damaged buildings through the fusion of three types of data with different features. The approach addresses multivariate regression methodologies and compares the potential of features for application in the damage detection field.

Addressing Configuration Uncertainty in Well Conditioning for a Rule-Based Model

Rule-based reservoir models incorporate rules that mimic actual sediment deposition processes for accurate representation of geological patterns of sediment accumulation. Bayesian methods combine rule-based reservoir modelling and well data, with geometry and placement rules as part of the prior and well data accounted for by the likelihood. The focus here is on a shallow marine shoreface geometry of ordered sedimentary packages called bedsets. Shoreline advance and sediment build-up are described through progradation and aggradation parameters linked to individual bedset objects. Conditioning on data from non-vertical wells is studied. The emphasis is on the role of ‘configurations’—the order and arrangement of bedsets as observed within well intersections in establishing the coupling between well observations and modelled objects. A conditioning algorithm is presented that explicitly integrates uncertainty about configurations for observed intersections between the well and the bedset surfaces. As data volumes increase and model complexity grows, the proposed conditioning method eventually becomes computationally infeasible. It has significant potential, however, to support the development of more complex models and conditioning methods by serving as a reference for consistency in conditioning.

Геоинформационное моделирование рельефа для выявления перспективных участков археологических исследований на примере памятников Саратовской области

This article provides an overview of modern remote sensing techniques in archaeology and their practical applications. The widespread use of GIS technologies and remote sensing methods such as photogrammetry and laser scanning is a distinguishing characteristic of contemporary archaeology. Remote sensing data is employed not only for the analysis of 3D archaeological objects and territories but also in the digital terrain models (DTMs) analysis to search for and identify potential archaeological excavation sites. The introduction of remote sensing methods in archaeology has brought about a change in the approach to conducting archaeological studies. In the field of international research, a distinct stage known as predictive archaeology, which involves preliminary reconnaissance of an area before excavation, has emerged. The study is focused on the archaeological sites of Stantsiya Krasavka and Akhmatskoe Gorodishche, located in the Atkarsky and Krasnoarmeysky municipal districts of the Saratov region. The selected study areas applied the DTM analysis, specifically using the “Hillshade” technique (analytical shading relief), which allows for the detection of previously overlooked terrain features. Based on the results, the potential of this technology for identifying individual archaeological objects using contemporary open DTMs and field geodetic survey data was analyzed. Experimental determination of the optimal DTM resolution for the identification and analysis of objects was conducted in areas previously subject to archaeological research. The experiments and comparative analysis of various laser scanning technologies led to the identification of optimal methods and filtering parameters to “exclude” vegetation and generate DTMs.

Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of simulated neutrino interactions

Image decomposition plays a crucial role in various computer vision tasks, enabling the analysis and manipulation of visual content at a fundamental level. Overlapping and sparse images pose unique challenges for decomposition algorithms due to the scarcity of meaningful information to extract components. Here, we present a solution based on deep learning to accurately extract individual objects within multi-dimensional overlapping-sparse images, with a direct application to the decomposition of overlaid elementary particles obtained from imaging detectors. Our approach allows us to identify and measure independent particles at the vertex of neutrino interactions, where one expects to observe images with indiscernible overlapping charged particles. By decomposing the image of the detector activity at the vertex through deep learning, we infer the kinematic parameters of the low-momentum particles and enhance the reconstructed energy resolution of the neutrino event. Finally, we combine our approach with a fully-differentiable generative model to improve the image decomposition further and the resolution of the measured parameters. This improvement is crucial to search for asymmetries between matter and antimatter.

Fresh view of the hot brown dwarf HD 984 B through high-resolution spectroscopy

Context. High-resolution spectroscopy has the potential to drive a better understanding of the atmospheric composition, physics, and dynamics of young exoplanets and brown dwarfs, bringing clear insights into the formation channel of individual objects. Aims. Using the Keck Planet Imager and Characterizer (KPIC; R « 35 000), we aim to characterize a young brown dwarf HD 984 B. By measuring its C/O and 12CO/13CO ratios, we expect to gain new knowledge about its origin by confirming the difference in the formation pathways between brown dwarfs and super-Jupiters. Methods. We analysed the KPIC high-resolution spectrum (2.29–2.49 μm) of HD 984 B using an atmospheric retrieval framework based on nested sampling and petitRADTRANS, using both clear and cloudy models. Results. Using our best-fit model, we find C/O = 0.50 ± 0.01 (0.01 is the statistical error) for HD 984 B which agrees with that of its host star within 1σ (0.40 ± 0.20). We also retrieve an isotopolog 12CO/13CO ratio of 98-25+20 in its atmosphere, which is similar to that of the Sun. In addition, HD 984 B has a substellar metallicity with [Fe/H] =-0.62-0.02+0.02. Finally, we find that most of the retrieved parameters are independent of our choice of retrieval model. Conclusions. From our measured C/O and 12CO/13CO, the favored formation mechanism of HD 984 B seems to be via gravitational collapse or disk instability and not core accretion, which is a favored formation mechanism for giant exoplanets with m < 13 MJup and semimajor axis between 10 and 100 au. However, with only a few brown dwarfs with a measured 12CO/13CO ratio, similar analyses using high-resolution spectroscopy will become essential in order to determine planet formation processes more precisely.

Multiobjective Optimization of Rotodynamic Blood Pumps: The Use Case of a Cavopulmonary Assist Device.

Comprehensive optimization of rotodynamic blood pumps (RBPs) requires the consideration of three partially conflicting objectives: size, hemocompatibility, and motor efficiency. Optimizing these individual objectives independently, the potential of multiobjective optimizations often remains untapped. This study aimed at the multiobjective optimization of an RBP for cavopulmonary support accounting for all three objectives simultaneously. Hydraulic and electromagnetic design spaces were characterized using computational fluid dynamics and computational electromagnetics, respectively. Design variables included secondary flow gap widths, impeller diameters, and stator heights. The size objective encompassed the RBP widths and heights, the hemocompatibility objective was a weighted composite measure of well-established metrics, and the motor objective was determined by motor losses. Multiobjective optimization was performed through Pareto analysis. 81 designs were considered, and 21 Pareto-optimal designs were identified. The Pareto analysis indicated that hemocompatibility performance could be improved by 72.4% with a concomitant 1.5% reduction in the baseline pump volume. This, however, entailed an increase in motor losses by 0.2 W, while still meeting design requirements, with maximum local temperature rises remaining below 0.4 K. The multiobjective optimization led to a Pareto front, demonstrating the feasibility to improve hemocompatibility at reduced pump volume, however, at the cost of a diminished yet still acceptable motor performance.

A new EDA algorithm combined with Q-learning for semiconductor final testing scheduling problem

In recent years, the Semiconductor Final Testing Scheduling Problem (SFTSP), recognized as a unique multi-resource scheduling challenge, attracts increasingly attention of academia and industry in the semiconductor manufacturing process. In this paper, a novel estimation of distribution algorithm combined with Q-learning (QEDA) is proposed to solve the SFTSP. According to the characteristics of the used operation encoding, a new probability matrix update mechanism is proposed for enhancing the priority relationships among operations. Considering that the traditional EDA is not in favor of local exploitation compared with its global exploration, a reinforcement learning is designed to improve the performance of the proposed algorithm. Furthermore, for the challenge of the resource allocation in SFTSP, four actions are introduced based on the variance of individual objectives. Extensive numerical simulations and comparative experiments show that the proposed QEDA algorithm exhibits much better performance than the state-of-the-art algorithms in the literature for solving the SFTSP.

МЕТОД ФОРМУВАННЯ ПУЛУ ВИБІРКОВИХ НАВЧАЛЬНИХ ДИСЦИПЛІН НА ОСНОВІ ГЕНЕТИЧНОГО АЛГОРИТМУ

This paper gives an in-depth analysis on the development and application of a method for creating a comprehensive elective course pool, which is fundamentally based on a genetic algorithm, and efficiently incorporated within an information system. The significance and extent of this research becomes prominent due to the surging interest and increased demand in employing efficacious management techniques to streamline educational curricula in higher education institutions, thereby catering to students' particular educational needs and predetermined objectives. Genetic algorithms, which have been extensively applied and have achieved noteworthy success in a wide array of fields, have shown significant potential for an automated selection of disciplines, ultimately leading to a precise alignment with a student's individual objectives and enhancing their overall educational experience. The study dedicates a significant portion of its focus to the implementation phases of the method. It illustrates an exhaustive analysis of the pre-existing methodologies applied in curriculum development. Furthermore, it offers a well-rounded assessment of the potentials and inherent limitations of genetic algorithms in the context of curriculum development. The research elaborates on the design and deployment of a specialized information system that efficaciously supports the automated compilation of an elective discipline pool. A substantial part of the study also delves into conducting an empirical risk analysis, and identifies an array of key factors that weigh in on the selection of disciplines. Some of these influential factors include specific characteristics of students, availability of faculty members, accessibility and allocation of institutional resources, and various budget constraints. The research results demonstrate that employing a genetic algorithm for curriculum formation can enhance the quality of education by providing greater individualization and alignment with students' educational needs.

On the Re-Alienation Experiences of the Amateur Runners in Istanbul

In contemporary mass culture, individuals are increasingly subjected to standardization, homogenization, and objectification, leading to experiences of alienation within the societal framework shaped by it. Despite efforts to fortify connections with oneself, the environment, society, and meaning, individuals may still find themselves immersed in alienation within the societal structure they inhabit. Through heightened awareness, individuals strive to reclaim their authentic identities, utilizing various means to distance themselves from alienation. However, this pursuit may paradoxically result in renewed ruptures in connections, as individuals encounter re-alienation, finding themselves ontologically identical yet formally distinct within the alienation process. Amidst the complexities of modern life, individuals often seek self-realization through recreational pursuits like running. Hence, this study endeavors to examine the phenomenon of re-alienation, particularly among amateur runners. By conducting semi-structured, in-depth interviews with runners in Istanbul, the study explores both the process of distancing from alienation and the experience of encountering re-alienation through running. Through its investigation, the study aims to contribute to scholarly discourse on alienation, self-realization, and re-alienation with the lens of critical communication studies. By analyzing the lived experiences of individuals, the research seeks to deepen our understanding of the intricate dynamics of alienation and resilience in contemporary society. Research findings show that running as a recreational activity strengthens individuals' connections with themselves, nature, their social environment, meaning, and values, thereby allowing for a sense of autonomy to be achieved; however, due to social infrastructure and individual psychological tendencies, subject and object fetishes can be developed in relation to running activities, leading to experiences of re-alienation. Keywords: alienation, self-realization, mass culture, sports and recreational studies, critical communication studies

A STUDY ON ANALYSIS OF PERFORMANCE APPRASIAL SYSTEM

This study aims to analyze the performance appraisal system implemented at Koso India Pvt. Ltd., a leading provider of industrial valves and automation solutions. Performance appraisal systems are critical in assessing employee performance, enhancing productivity, and aligning individual objectives with organizational goals. This research investigates the effectiveness, efficiency, and employee perceptions of the current appraisal system at Koso India Pvt. Ltd. The methodology involves a mixed-methods approach, combining quantitative data from employee performance records and qualitative insights from employee surveys and interviews. Key performance indicators (KPIs) and appraisal outcomes were analyzed to gauge the system's impact on employee development and organizational performance. Findings reveal that while the performance appraisal system at Koso India Pvt. Ltd. effectively identifies high performers and areas needing improvement, there are challenges related to consistency, transparency, and feedback mechanisms. Employees expressed concerns over the subjective nature of certain evaluation criteria and the lack of actionable feedback. Additionally, the study highlights the need for continuous training for appraisers to ensure fairness and objectivity. Recommendations include enhancing the transparency of the appraisal process, incorporating 360-degree feedback mechanisms, and providing regular training sessions for both employees and appraisers. By addressing these areas, Koso India Pvt. Ltd. can improve employee satisfaction, foster a culture of continuous improvement, and better align individual performance with the company's strategic goals.

Dual Representation of the Auditory Space.

Auditory spatial cues contribute to two distinct functions, of which one leads to explicit localization of sound sources and the other provides a location-linked representation of sound objects. Behavioral and imaging studies demonstrated right-hemispheric dominance for explicit sound localization. An early clinical case study documented the dissociation between the explicit sound localizations, which was heavily impaired, and fully preserved use of spatial cues for sound object segregation. The latter involves location-linked encoding of sound objects. We review here evidence pertaining to brain regions involved in location-linked representation of sound objects. Auditory evoked potential (AEP) and functional magnetic resonance imaging (fMRI) studies investigated this aspect by comparing encoding of individual sound objects, which changed their locations or remained stationary. Systematic search identified 1 AEP and 12 fMRI studies. Together with studies of anatomical correlates of impaired of spatial-cue-based sound object segregation after focal brain lesions, the present evidence indicates that the location-linked representation of sound objects involves strongly the left hemisphere and to a lesser degree the right hemisphere. Location-linked encoding of sound objects is present in several early-stage auditory areas and in the specialized temporal voice area. In these regions, emotional valence benefits from location-linked encoding as well.

Psychological factors influencing online booking intentions among resort tourism service users

PurposeThis study examines the psychological factors that directly influence individuals’ intentions to book or arrange reservations through resort hotel websites within the context of the Unified Theory of Acceptance and Use of Technology (UTAUT). Specifically, this study focused on identifying and understanding the key drivers of online purchase intentions, including performance expectancy, effort expectancy, social influence and facilitating conditions within the UTAUT model.Design/methodology/approachThis study used the UTAUT as a theoretical framework. A quantitative research approach was adopted and data were collected through surveys using a five-point Likert scale. The sample consisted of 270 participants, selected through purposive sampling. Data analysis was performed using Smart PLS software.FindingsThe results indicate that performance and effort expectancy significantly influence online purchase intentions. However, social influence did not significantly affect online purchase intention. By contrast, facilitating conditions significantly and positively influence online purchase intention.Practical implicationsThese findings have practical implications for hotel managers and marketers. Emphasizing performance, effort expectations and facilitating conditions can improve customer perceptions of website usefulness and directly increase their intention to book. The limited impact of social influence suggests the need to focus less on social recommendations or endorsements in online marketing efforts and prioritize individual factors and objective information.Originality/valueThis study contributes to the field of technology and tourism by examining the psychological factors that directly influence users’ intention to purchase from resort hotel websites. This extends the understanding of online purchase intentions in the context of resort tourism and highlights the importance of facilitating conditions. This study also partially confirms the applicability of the UTAUT model in this domain and provides insights for future research on online purchase intentions in resort tourism.

Financial Strategies of Attracting and Retaining Talent at Tata Motors

For businesses like Tata Motors, talent has become the most precious asset in today's intensely competitive automotive sector. This abstract explores the financial tactics used by Tata Motors to draw in and hold on to elite personnel, which in turn ensures long-term success and growth for the company. Tata Motors understands how important it is to provide competitive pay packages in order to draw in the top personnel available. The company maintains its wage structures in line with industry norms by carefully examining the market and benchmarking. Tata Motors also uses performance-linked incentives, which match organizational and individual objectives to reward excellence and produce outcomes. Tata Motors aims to establish a financially satisfying work environment that inspires employees to achieve by combining competitive compensation with performance bonuses. Apart from monetary compensation, Tata Motors prioritizes offering extensive benefits to its employees. These benefits include retirement plans, health insurance, and a host of additional advantages aimed at improving the general happiness and well-being of its employees. Tata Motors promotes a culture of dedication and loyalty among its workers by putting employee wellbeing first, which increases retention rates. In addition, Tata Motors makes large investments in learning and development programs to cultivate talent and promote career advancement. Through educational opportunities, skill-building workshops, and training programs, the organization provides its employees with the tools and information they need to succeed in their positions. Tata Motors fosters a culture of innovation and adaptation in addition to improving individual performance by enabling staff members to pursue ongoing professional development.

The artification of fossils in commercial art spaces: Dinosaurs in a desirescape

In this article we consider the movement of fossils into art commercial spaces as a process of artification underpinned by the deep object associations that art spaces foster. We combine observational data gathering at art and fossil fairs, dealerships, and auctions with snapshot analysis of the online market for Tyrannosaurus rex fossils, contextualized by interviews with palaeontologists and fossil dealers, to understand the increasing appearance of fossils within art commercial spaces. We believe that the placement of fossils within the art market desirescape, so within a network of alluring, provocative, affective art objects, allows the fossils to transform into what consumers would consider art. The fossils then gain the social associations that artworks have for these consumers. We believe that art and fossil consumers are not simply drawn to individual objects of desire, but to the myriad associations those objects have with other objects and the deep meanings those associations overlay. Those associations and the network they form can, in turn, transform the objects within it. When a fossil is artified, it can be desired like art, and can command art prices.

Assessing coarse woody debris by integrating full area sampling and line intersect sampling: Combining the best of both worlds

Effective and comprehensive monitoring of the quantity of deadwood has become an important aspect of forest inventories for studies on structural and demographic dynamics, biodiversity and carbon stocks. Assessing dead wood quantity, however, is challenging and time consuming due to the structural complexity of deadwood. To monitor coarse woody debris (CWD) in a 10-year remeasuring cycle, we propose to combine full area sampling, to assess and position large-diameter CWD, with line intersect sampling, to estimate the volume of small-diameter CWD. The aim was to simultaneously I) lower the work load in the field, II) ensure low variability in average CWD volume and III) enable remeasurement of a high share of individual CWD objects to study dead wood dynamics and related biodiversity. Using data from 1601 circular plots measured with full area sampling in 16 temperate forest reserves (Flanders, northern Belgium), we simulated line intersect transects and tested threshold diameters between 10 and 130 cm to subdivide CWD to be measured with full area or line intersect sampling. The work load of the combined sampling with a threshold diameter of 20 to 40 cm was about 50 to 90% of the full area sampling work load respectively. Yet, no significant increase in the coefficient of variation (CV) of the average CWD volume was registered for threshold diameters up to 30 cm (133 %) compared to the full area sampling (125 %). The probability to relocate a 30 cm diameter CWD object after 10 years was 50 % and the probability for remeasuring increased with diameter. Using full area sampling with 10 cm threshold results in only 32 % of the objects relocated and remeasured after 10 years; using the combined sampling, only positioning logs over 30 cm increases this figure to 67 %, thus avoiding idle work. We conclude that combining full area and line intersect sampling has the advantage of lowering the work load, increasing the share of relocated objects over time, while not significantly increasing the variability in average CWD volume. An optimal threshold diameter between both methods was comprised between 20 and 40 cm but might further depend on relative importance of work load, need for relocation, CV, the study setup (e.g. number and size of plots), stand characteristics (e.g. CWD volume, dominant tree species) and decay rate. We propose to use a 30 cm threshold diameter for measuring CWD in temperate forest reserves.

Electrical engineering of topological magnetism in two-dimensional heterobilayers

The emergence of topological magnetism in two-dimensional (2D) van der Waals (vdW) magnetic materials and their heterostructures is an essential ingredient for next-generation information technology devices. Here, we demonstrate the all-electric switching of the topological nature of individual magnetic objects emerging in 2D vdW heterobilayers. We show from the first principles that an external electric field modifies the vdW gap between CrTe2 and (Rh, Ti)Te2 layers and alters the underlying magnetic interactions. This enables switching between ferromagnetic skyrmions and meron pairs in the CrTe2/RhTe2 heterobilayer while it enhances the stability of frustrated antiferromagnetic merons in the CrTe2/TiTe2 heterobilayer. We envision that the electrical engineering of distinct topological magnetic solitons in a single device could pave the way for novel energy-efficient mechanisms to store and transmit information with applications in spintronics.

The Impact of the Stimulus Packages on the Economy during COVID-19 in Bangladesh: A Mixed-Method Approach

With the unexpected onset of COVID-19, governments across the world responded with a range of preventive measures, including the imposition of lockdowns. To mitigate the adverse effects of lockdowns arising from supply chain shocks and employment loss, governments worldwide chose to implement policies to stimulate their economies and keep them working. This study assesses the impact and effectiveness of four of these packages in Bangladesh, employing a mixed-method approach. These packages include “salary support for workers in export-oriented RMG industries”, “working capital loans for affected industries and service sectors”, “working capital loans for cottage, micro, small, and medium enterprises”, and initiatives for “revitalizing the rural economy and job creation”. Each package was examined individually because of their differences in beneficiary groups, implementation methods, and individual objectives. Quantitative analysis involved propensity score matching (PSM), the difference in difference model (DID), and structural equation modelling (SEM). Stakeholders, including policy implementers, Bangladesh Bank officials, policy analysts, academics, workers, and beneficiaries, contributed to the qualitative analysis through extensive key-informant interviews, providing a comprehensive assessment of intervention outcomes. Ultimately, the results show that the packages achieved their socio-economic relief objectives for beneficiaries. The research examined both positive impacts and challenges in their implementation. It suggests that all four packages successfully achieved their goals, such as providing social and economic support, sustaining livelihoods, addressing marginalized groups’ needs, ensuring survival for large industries and small businesses, and promoting employment. In order to better address future shocks, establishing a beneficiary database integrated with the national system is recommended for smoother policy rollout. Despite acknowledged limitations, including challenges in beneficiary identification, data availability, and time constraints, the study’s unbiased estimations provide valuable insights to guide future policy directions in similar situations.

Cryopump concept development for the cryogenic mirror region of the Einstein Telescope – the future gravitational wave observatory

The Einstein Telescope (ET), the planned gravitational-wave observatory for Europe, will increase the sensitivity and expand the observation band to lower frequencies. The main optics of the ET-Low Frequency (LF) interferometer will be cooled to cryogenic temperatures below 20 K and the whole system, consisting of the beam pipes, the suspension towers and the cryostat containing the mirror, requires high to ultra-high vacuum conditions.To fulfill the vacuum related requirements the use of tailor-made in-situ cryopumps is envisaged. Simulations at KIT, performed with the in-house Test Particle Monte Carlo code ProVac3D and a simplified model of the system, considered the three main gas sources from the neighbouring systems and the sinks by pumping stations distributed along the pipe arms, the cryogenic pump sections close to the mirror and the cryogenic mirror environment. These simulations showed different needs for the pumping of hydrogen (to lower the residual pressures) or heavier species like water (to lower the frost formation on the cryogenic mirror surface) – depending on the position related to the mirror. With these findings, the development of a pump arrangement concept was worked out.In parallel, the outgassing rates of the inner walls of the beam pipe tubes, influencing strongly the vacuum pumping demands, have been varied to investigate the potential use of mild steel as a beam pipe material of reduced costs.This paper describes the developed pump arrangement concept, utilizing cryogenic pumps integrated into the beam pipe tubes of 1 m diameter, with their individual objectives regarding pumped species and needed temperatures.Furthermore, the key parameter of frost formation on the cryogenic mirror, important for long operational phases without pause and maintenance, being also a design driving demand, is derived from the predicted residual pressure of sticky gases like water.

Micro-Integration: A Process for Integrating Multiple Discipline-Specific Learning Objectives for Enhanced Co-Teaching of Medical Education Sessions

Introduction: Integrating subject matter in organ-systems-based courses is now the norm in medical education. This is valuable at the course level and organ-system level. However, at the session level, many basic scientists have observed essential content from their disciplines being discarded when solo-taught by faculty from other disciplines. This has had the effect of content experts re-siloing their content in sessions that were intended to cover integrative content. Such siloing forces students to integrate the separated components themselves. Even when designated for co-teaching, many sessions created by only one faculty member effectively sideline the other instructors attending the sessions. Hypothesis: A deliberative process for improving the incorporation of discipline-based learning objectives and content into the material for multidisciplinary co-taught sessions improves both co-teaching opportunities and student learning. Methodology: The authors offer the term “micro-integration” as a deliberative, 4-step process for converting an individually created session into an effective multidisciplinary session. (1) Once a session on a topic is identified for co-teaching as part of a larger curricular plan, a session lead is identified. This person often teaches most of the session’s content. (2) In creating a multidisciplinary, integrated session, topics from other disciplines (in both basic and clinical sciences) that complement or complete the integration are identified. Each content expert creates learning objectives that correspond best to their discipline. (3) Each expert creates discipline-specific content that covers their individual learning objectives for that session. (4) The group collaboratively creates the final product. As an example, in one first-semester session on “Action Potentials and the Neuromuscular Junction,” most of the material—learning objectives and the content of the session—was prepared by a physiologist. Two learning objectives on the microbiology of botulism and tetanus were also incorporated. Finally, another learning objective and related content on the clinical presentation of these two disorders was included. Together, these highlighted the importance and relevance of physiology, microbiology, and clinical medicine on the same topic, presenting medical students with an integrated, clinically relevant understanding of action potentials and synaptic transmission. Data and summary of results: At a medical school that has an integrated pre-clinical curriculum, micro-integration was the norm for many sessions. Reaction from students to these micro-integrated sessions has been generally positive. Faculty also reported feeling empowered by micro-integration. An unexpected but welcome result of this process involved item writing. Because each content expert was aware of specific knowledge each of their peers were contributing, they were better able to write integrated formative and summative examination items that prioritized their learning objectives while also tying into others’ learning objectives. These learning objectives and related examination items were tracked all the way up to the course level to match content taught with overall learning objectives for each organ system. In general, micro-integration was used in three types of sessions: (1) Basic scientists from different disciplines (e.g., anatomy and physiology) coordinating their learning objectives and content across a common topic; (2) Basic science sessions incorporating clinical relevance to the original material (e.g., biochemistry and clinical medicine); and (3) Clinical sessions incorporating basic science material (e.g., clinical medicine and pharmacology). Conclusion: Micro-integration is a new, deliberate approach to creating contextualized, just-in-time educational materials at the session level that may improve the content and quality of co-teaching to undergraduate medical students. This process of session-specific curriculum development could be helpful, both for overcoming faculty resistance to integration of their learning objectives and content in undergraduate medical education, and for improving the quality of examination items. None. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.